Dear all,
is there a way to extract individual likelihoods from a glm/lrm object?
By individual likelihoods, I mean the likelihoods whose product give the
overall likelihood of the model.
I guess the code in the base package, used to compute the Akaike Information
Criterion may help me.
However, I couldn't figure it out, probably because I'm rather new to
likelihood theory and ML estimation ;-)
Thanks for any help/suggestion/tip,
Bruno
______________________________________________
[EMAIL PROTECTED] mailing list
https://www.stat.math.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
